Nauka Przyroda Technologie

2010 volume 4 issue 4 #50

Alicja Szabelska, Michał Siatkowski, Teresa Goszczurna, Joanna Zyprych

Comparison of growth models in package R

Abstract.

In this paper we present five growth models (growth curves; growth curve models): exponential, Gompertz, logistic, log-logistic and Weibull. For each growth curve the formula and graphical representation are described. Next, we introduce in package R methods for estimation of the model parameters and goodness of fit to the data criteria: Akaike Information Criterion and Bayesian Information Criterion. This criteria permit comparing and choosing the best model. In further part an example illustrating the process of estimating parameters and choosing the best model for a given dataset is presented.

Keywords: Akaike Information Criterion, Bayesian Information Criterion, growth curve models, package R

Full text available in English in Adobe Acrobat format:
http://www.npt.up-poznan.net/tom4/zeszyt4/art_50.pdf

Streszczenie w języku polskim:
http://www.npt.up-poznan.net/tom4/zeszyt4/streszczenie-50.html

For citation:
Szabelska A., Siatkowski M., Goszczurna T., Zyprych J., 2010. Comparison of growth models in package R. Nauka Przyr. Technol. 4, 4, #50.

Corresponding address:
Alicja Szabelska
Katedra Metod Matematycznych i Statystycznych
Uniwersytet Przyrodniczy
w Poznaniu
ul. Wojska Polskiego 28
60-637 Poznań
Poland
e-mail: aszab@up.poznan.pl

Accepted for print: 18.05.2010